Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

Transcatheter arterial embolization (TAE) is the mainstay for treating advanced hepatocellular carcinoma (HCC), and the performance of the embolization material is crucial in TAE. With the development of medical imaging and the birth of "X-ray-free" technologies, we designed a new dual-mode imaging material of dimethoxy tetraphenyl ethylene (DMTPE) via emulsification by mixing poly(N-isopropylacrylamide-co-acrylic acid) (PNA) with lipiodol and fluorocarbons, which was evaluated for temperature sensitivity, stability, and dual-mode visualization in vitro. Additionally, blood vessel casting embolization and renal artery imaging were assessed in healthy rabbits. In a rabbit model with a VX2 tumor, the effectiveness of TAE for treating HCC was examined, with an emphasis on evaluating long-term outcomes of embolization and its effects on tumor growth, necrosis, and proliferation through imaging techniques. In vitro experiments confirmed that the temperature-sensitive dual-oil-phase Pickering emulsion had good flow, stable contrast, and embolism when the oil-to-oil ratio and water-to-oil ratio were both 7:3 ( v/v) and stabilized with 8% PNA. Similarly, in vivo, arterial embolization confirmed the excellent properties of DMTPE prepared at the abovementioned ratios. It was observed that DMTPE not only has an antitumor effect but can also achieve dual imaging using X-rays and ultrasound, making it a promising excellent vascular embolization material for TAE in tumor treatment.

ObjectiveTo investigate the immunological characteristics of the patients with aplastic anemia （AA） and elevated hemogram parameters treated with Yiqi Yangxue prescription combined with Western medicine and the predictive effects of immunological indexes on elevated hemogram parameters， thus providing a reference for the prediction of the treatment efficacy and the adjustment of the treatment regimen. MethodA retrospective study was conducted， involving 77 AA patients treated with Yiqi Yangxue prescription combined with Western medicine for 6 months in 19 medical institutions including Xiyuan Hospital， China Academy of Chinese Medical Sciences from September 2018 to March 2021. The patients were assigned into two groups according to the elevations in hemogram parameters ［including hemoglobin （HGB）， white blood cell count （WBC）， platelet （PLT）， and absolute neutrophil count （ANC）］ after 6 months of treatment. One group had the elevation <50%， and the other group had the elevation ≥50% compared with the baseline. The clinical and immunological characteristics were compared between the two groups. Result① Compared with the group with HGB elevation<50%， the group with HGB elevation≥50% showed elevated level of CD3⁺ human leukocyte antigen-DR （HLA-DR）⁺ and increased proportion of patients with T-helper cell type 2 （Th2）<5%， CD8⁺≥50%， and CD3⁺HLA-DR⁺≥9% before treatment （P<0.05， P<0.01）. The multivariate Logistic regression analysis showed that CD8⁺≥50% before treatment was the independent influencing factor for HGB elevation ≥50% ［odds ratio （OR）=12.000， 95% confidence interval （CI） 2.218， 64.928， P<0.01］. ② Compared with the group with WBC elevation<50%， the group with WBC elevation≥50% showed increased proportion of patients with CD3⁺HLA-DR⁺<6% and T-box transcription factor （T-bet）≥200% before treatment （P<0.05）. The multivariate Logistic regression analysis showed that CD3⁺HLA-DR⁺<6% （OR=2.998， 95%CI 1.036， 8.680， P<0.05） and T-bet≥200% （OR=3.634， 95%CI 1.076， 12.273， P<0.05） before treatment were independent influencing factors for WBC elevation≥50%. ③ Compared with the group with PLT elevation<50%， the group with PLT elevation≥50% presented lowered Th1 and CD3⁺HLA-DR⁺ levels and increased proportion of patients with Th1<12%， CD4⁺≥6%， and CD3⁺HLA-DR⁺<5% before treatment （P<0.05， P<0.01）. The multivariate Logistic regression analysis showed that CD3⁺HLA-DR⁺<5% before treatment was the independent influencing factor for PLT elevation≥50% （OR=16.190， 95%CI of 3.430 to 76.434， P<0.01）. ④ Compared with the group with ANC elevation<50%， the group with ANC elevation≥50% showed no significant changes in the hemogram parameters before treatment. ConclusionAs for the AA patients with rapid elevation in HGB， Yiqi Yangxue prescription combined with Western medicine demonstrate significant effects in the patients with Th2<5% and CD3⁺HLA-DR⁺≥9%， especially those with CD8⁺≥50%. As for the AA patients with rapid elevation in WBC， the therapy was particularly effective in the patients with CD3⁺HLA-DR⁺<6% and T-bet≥200%. As for the AA patients with rapid growth in PLT， the therapy was particularly effective in the patients with Th1<12% and CD4⁺≥6%， especially those with CD3⁺HLA-DR⁺<5%.

OBJECTIVE To develop a population pharmacokinetic （PPK） model for mycophenolate mofetil active metabolite mycophenolic acid （MPA） in children with primary IgA nephropathy， explore the factors affecting the pharmacokinetic parameters of MPA， and provide a basis for clinical individualized therapy. METHODS Retrospective collection was conducted on 636 concentrations and clinical data from 47 pediatric patients with primary IgA nephropathy. PPK analysis was carried out by using the nonlinear mixed-effects model； the covariates were tested with a stepwise method. Goodness-of-fit plots， Bootstrap and visual predictive check were employed to evaluate the final model. RESULTS The pharmacokinetics of MPA in children with IgA nephropathy in vivo conformed to the first-order absorption and elimination two-compartment model （objective function value of 3 276.31）. Covariate analysis suggested that body weight and albumin （ALB） levels were significant influencing factors on apparent clearance rate and apparent distribution volume. The typical values of PPK parameters of MPA in the final model were as follows： the central room had a distributed volume of 5.79 L， the clearance rate was 4.06 L/h， the volume of peripheral ventricular distribution was 430.93 L， the clearance rate between compartments was 15.40 L/h， the oral absorption rate constant was 1.29 h－1. After verification， most of the predicted corrected observed concentration points were within the 90% confidence interval of the predicted corrected simulated concentration， indicating that the MPA final model had good predictive performance. CONCLUSIONS The PPK model of MPA in children with primary IgA nephropathy is established in this study， identifying body weight and ALB levels are significant factors affecting MPA metabolism.

Colorectal cancer （CRC） is a malignant tumor of the intestinal tract with changes in bowel habits， blood in the stool， and pain as the main clinical manifestations. With the change in lifestyle and diet structure in recent years， the incidence of CRC has been increasing year by year. The pathogenesis of CRC is closely related to abnormal immune response and chronic inflammation， intestinal microbial dysbiosis， and the production of oncogenic metabolites. There is a two-way communication between the intestinal microbiota and the body's immunity， which not only plays a key role in maintaining the body's health but also has a close relationship with the development of diseases. An increasing number of studies have shown that abnormal immune responses accelerate the disease process by producing inflammatory factors， causing chronic inflammation in the body， disrupting the intestinal mucosal barrier， and increasing mucosal permeability， thus resulting in dysbiosis of the intestinal microbial ecology and a large number of pathogenic microorganisms and their metabolites. In addition， dysbiosis of intestinal microbes， by suppressing the normal immune response， leads to the disruption of multiple metabolic pathways in the body， affecting the internal and external stress response of the intestine， inducing inflammation， and thus producing disease. Therefore， the complex crosstalk mechanism between the immune response and intestinal microbial axis is closely related to the development of CRC. Based on traditional Chinese medicine theory and clinical research， it was found that dietary factors are an important causative factor in the development of CRC. The deficiency of positive energy is the root cause of the disease， and damp-heat accumulation is the key pathogenesis. Through modern medical and biological research， it is believed that abnormal immune response is the microscopic manifestation of damp-heat entrapment， while intestinal microbial dysbiosis is the biological basis of toxic injection into the large intestine， and in the pathogenesis of CRC， the imbalance of immune response-intestinal microbial axis is compatible with damp-heat accumulation in traditional Chinese medicine. This study aims to explore the biological connotation of CRC due to damp-heat accumulation from the immune response-intestinal microbial axis， so as to interpret the pathogenesis of CRC due to damp-heat accumulation with objective data and provide new ideas and theoretical basis for the pathogenesis and treatment strategies of CRC due to damp-heat accumulation.

Objective:To analyze the spatial-temporal epidemiological characteristics of pertussis from 2013 to 2022 in Hebei Province and to provide a reference for improving prevention and control measures.Methods:Based on the data of pertussis reported in Hebei Province during 2013-2022 to analyze the popular characteristic, the ArcGIS 10.8 software was used to construct a ring map and to perform spatial autocorrelation analysis; the SaTScan 10.1 software was used for spatial-temporal scan statistics.Results:There were 6 715 cases of the cumulative report in Hebei Province from 2013 to 2022 without death. The annual report incidence was 0.90/100 000. The overall incidence rate showed an upward trend from 2013 to 2019, and during 2020-2021, it showed a sharp decline, but in 2022, it showed a sharp increase. Summer and autumn are the peak seasons of the epidemic. The incidence was highest in age group <1 year (48.67%), and the lowest age group in age group ≥15 years (0.45%) and mainly scattered children (78.03%); the incidence about men is higher than women. Spatial autocorrelation analysis showed that the onset of pertussis has spatial clustering, and high-high clusters were found in Langfang, Baoding, and Cangzhou, the top three countries with reported incidence. The area covered by a low-low cluster was consistent with the distribution of the corresponding low-incidence areas in this study. Space-time scan detects five statistically significant areas, and three zones were concentrated in 2022.Conclusions:The incidence of pertussis in Hebei had obvious season, population, and area-specific differences. There was obvious spatiotemporal and clustering, so the control of key areas should target the characteristics of time and space.

Objective:To investigate the carriage status of Neisseria meningitidis ( Nm) among the healthy population in Hebei Province for the prevention and control of meningitis. Methods:From 2015 to 2022, throat swabs were collected from health people, which were selected by cluster random sampling in 11 cities of Hebei.The positive rate of Nm was detected by bacterial culture. The serogroups of isolated strains were identified.The laboratory detection results of Nm strains, combined with epidemiological survey data, were synthetically analyzed. Results:A total of 20 245 people were investigated; 249 strains of Nm were isolated; the overall Nm carriage rate was 1.23%. The carriage rate was significantly higher in men than in women(χ 2=28.831, P<0.05). The positive rates of Nm in different age groups were significantly different(χ 2=428.018, P<0.05), with the highest rates in the 15-19 year-old group(4.90%, 149/3 042). The positive rates of Nm were significantly different in different regions(χ 2=177.512, P<0.05), with the highest positive rate of Nm in Xingtai, Shijiazhuang, Chengde and Baoding city in sequence. Among the isolated Nm strains, ungroupable serogroups, serogroup B, serogroup C, and serogroup W accounted for 71.49%(178/249), 13.65%(34/249), 6.83%(17/249) and 4.42%(11/249), respectively. Conclusions:The carriage rate of Nm among healthy population is generally low in Hebei Province. It is recommended to continue to strengthen monitoring, pay attention to the changes and distribution characteristics of Nm, and formulate scientific and targeted prevention and control measures of meningococcal disease.

Objective The MMV-Net,a deep learning framework based on mammogram multiple views,was constructed to evaluate the classification performance of the model for benign and malignant masses.Methods A retrospective analysis was conduc-ted on a dataset of 1 585 breast X-ray images from Harbin Medical University Cancer Hospital from 2018 to 2020,including 806 be-nign cases and 779 malignant cases.The dataset was divided into the training set(n=1268)and the test set(n=317)according to an 8∶2 ratios,and the training set was stratified according to the 5-fold cross validation.The integrated DDSM dataset and INBreast dataset were used as external test sets(n=1645)to evaluate the model performance.Each case in the input layer contained 4 views.The MMV-Net model was constructed by removing the last two layers of the ResNet22 network structure and adding an average poo-ling layer as the feature extraction layer,as well as fully connection layer and softmax activation function as the decision layers.Bayes-ian hyperparameter optimization was used.The performance of MMV-Net,MFA Net,and ensemble inception V4 models in AUC val-ues,accuracy,precision,recall and F1 scores were compared.Results The AUC values of MMV-Net model for distinguishing benign and malignant masses on the test set were 0.913,0.882 for MFA-Net,and 0.865 for inception V4.The accuracy and precision evalu-ation metrics of the MMV-Net model were also higher than the other two models.Conclusion The deep learning MMV-Net model based on multiple views of mammogram is helpful for the classification of benign and malignant breast masses.